Table 4 Predictive ability of the best model and the best model without dominance effects.

From: Improvement in genetic evaluation of quantitative traits in sheep by enriching genetic model with dominance effects

Trait

r(\(\:y\),\(\:\widehat{y}\))

MSE

Best model

Best model without Dominance effects

Best model

Best model without Dominance effects

BW

0.95

0.70

0.29

0.65

WW

0.86

0.70

8.84

13.43

ADG

0.88

0.73

880.98

1470.54

  1. BW= birth weight, WW= weaning weight, ADG= average daily gain from birth to weaning, MSE= Mean squared error of prediction. r(\(\:y\),\(\:\widehat{y}\)) = Pearson’s correlation coefficient between the real and predicted values of records.
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